| | |
| | | #include "params.h" |
| | | #include "image.h" |
| | | #include "activations.h" |
| | | #include "layer.h" |
| | | |
| | | typedef struct { |
| | | int batch; |
| | | int h,w,c; |
| | | int n; |
| | | int size; |
| | | int stride; |
| | | int pad; |
| | | float *filters; |
| | | float *filter_updates; |
| | | |
| | | float *biases; |
| | | float *bias_updates; |
| | | |
| | | float *col_image; |
| | | float *delta; |
| | | float *output; |
| | | |
| | | #ifdef GPU |
| | | float * filters_gpu; |
| | | float * filter_updates_gpu; |
| | | |
| | | float * biases_gpu; |
| | | float * bias_updates_gpu; |
| | | |
| | | float * col_image_gpu; |
| | | float * delta_gpu; |
| | | float * output_gpu; |
| | | #endif |
| | | |
| | | ACTIVATION activation; |
| | | } convolutional_layer; |
| | | typedef layer convolutional_layer; |
| | | |
| | | #ifdef GPU |
| | | void forward_convolutional_layer_gpu(convolutional_layer layer, network_state state); |
| | |
| | | void backward_bias_gpu(float *bias_updates, float *delta, int batch, int n, int size); |
| | | #endif |
| | | |
| | | convolutional_layer *make_convolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, int pad, ACTIVATION activation); |
| | | void resize_convolutional_layer(convolutional_layer *layer, int h, int w); |
| | | convolutional_layer make_convolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, int pad, ACTIVATION activation); |
| | | void resize_convolutional_layer(convolutional_layer *layer, int w, int h); |
| | | void forward_convolutional_layer(const convolutional_layer layer, network_state state); |
| | | void update_convolutional_layer(convolutional_layer layer, int batch, float learning_rate, float momentum, float decay); |
| | | image *visualize_convolutional_layer(convolutional_layer layer, char *window, image *prev_filters); |